Helmholtz Munich

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We develop novel computational tools powered by AI to accelerate discovery and translation. We apply cutting-edge computational methods to promote personalised health. Collaboratively, we develop predictive algorithms as well as mechanistic models to analyse molecular, imaging, and clinical data of human health and disease. We thus help to create innovative diagnostics and novel treatments for environmentally triggered diseases.

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We develop robust methods for analyzing big data to address key biomedical challenges and consolidate analytical approaches using innovative digital methods. In addition, we develop novel statistical methods for trans- ethnic meta-analysis, testing for pleiotropy, rare variant burden, testing, and polygenic risk score construction.

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We develop and translate AI technologies for biomedical problems by constructing deep-learning methods and combining them with more mechanistic modeling approaches. In addition, we steer the computational aspects of developing single-cell atlases in healthy and disease state to build AI-driven analytics platforms for multimodal data, in particular from genomics and diverse imaging modalities.

We develop novel computational methods for multiomic data integration of epigenomic, transcriptomic, proteomic and genetic data and advanced phenotypic/in vivo observations. In addition, we design novel approaches for efficient data combination across omics levels, maximizing the information yield across the multidimensional space of datar from genomics and diverse imaging modalities.

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How AI is Revolutionizing Medicine

Computer systems can already independently analyze health data, learn from it and even derive therapy recommendations. Which opportunities this means for patients and what research needs to apply artificial intelligence in practice.

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Awards & Grants, Computational Health, April 18, 2024

A Synergy Unit, in which Helmholtz Munich is involved, will develop, deploy, and connect foundation models.

Transfer, Computational Health, April 16, 2024

In a new collaboration, the Computational Health Center at Helmholtz Munich has teamed up with the global pharmaceutical company Pfizer. The joint initiative, spanning three years, aims to leverage Pfizer's vast knowledge and accumulated data in…

Computational Health, April 10, 2024

An interview with Prof. Fabian Theis, Head of the Computational Health Center, and Prof. Bjoern Eskofier, Group Leader for Translational Digital Health. The researchers hosted the first Munich Health Foundation Model Symposium on April 10, 2024, at…

Munich Health Foundation Model Symposium_with black

Transfer, Computational Health, March 19, 2024

Helmholtz Munich is bringing together a wide range of experts to advance the development of foundation models focused on health research. The Munich Health Foundation Model Symposium, to be held on April 10, 2024, at the Helmholtz Munich Campus, aims…

New Research Findings, Diabetes, Computational Health, ITG, February 19, 2024

The genetic information in our cells harbors secrets about the risks, progression, and complications of many diseases. With hundreds of millions of patients worldwide, identifying and understanding genetic risk for type 2 diabetes is of particular…

Featured Publication, Computational Health, AIH, December 08, 2023

Therapeutic antibodies play a crucial role in treating diseases by modifying immune cells. Scientists from the Institute of AI for Health at Helmholtz Munich in collaboration with Roche present an open-source framework for comprehensive antibody…

Public Engagement, Computational Health, AIH, IML, December 01, 2023

Helmholtz Munich organized its first "Expert Hour" in the German Bundestag. With this new event format, Helmholtz Munich will regularly provide information on politically relevant health and research topics in the future and support work in the…

Awards & Grants, Computational Health, AIH, November 23, 2023

The application of artificial intelligence methods for the generation of antimicrobial peptides will be the subject of research in the Deep Optimised Generation of AntiMicrobial Peptide (DOG-AMP) project. The project will be carried out by Prof. Ewa…

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Computational Health, ITG, November 10, 2023

The first "Munich for Women in Science" event is dedicated to inspiring positive change for Women in Science. The event will be hosted by Helmholtz Munich and has been organized in collaboration with the Technical University Munich (TUM), the…

Environmental Health, LHI, Computational Health, ICB, November 07, 2023

The Human Cell Atlas (HCA) promises insights into ourselves, unraveling our cellular landscape.

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Awards & Grants, Computational Health, ICB, October 26, 2023

The European Research Council (ERC) today awarded 37 particularly well-funded Synergy Grants across Europe. One of these interdisciplinary research awards went to Julien Gagneur, Group Leader at Helmholtz Munich and Professor of Computational…

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Computational Health, ICB, IML, October 25, 2023

Artificial Intelligence (AI) is becoming increasingly crucial in medical research, and Helmholtz Munich is one of the world's leading institutions in this field. It can detect tumors as effectively as severe eye diseases.

Transfer, Computational Health, October 12, 2023

The AiChemist project has officially started in September 2023 Coordinated by Helmholtz Munich the project is an Innovative Doctoral Training Network funded with 3 million euros provided by the Marie Skłodowska-Curie Actions (MSCA-DN) within the EU…

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New Research Findings, Computational Health, ICB, October 09, 2023

ScPoli Enables Multi-Scale Representations of Cells and Samples

The increasing amount of data recorded in medical research can only lead to scientific breakthroughs and essential therapies for patients if interpreted and analyzed correctly.…

New Research Findings, Computational Health, Bioengineering, IBMI, October 02, 2023

Researchers at Helmholtz Munich and the Technical University of Munich have made significant progress in advancing high-resolution optoacoustic imaging for clinical use. Their innovative deep-learning framework, known as DeepMB, holds great promise…

Featured Publication, New Research Findings, Diabetes, IDR, Computational Health, ICB, September 12, 2023

A collaborative endeavor between computer scientists and diabetes researchers at Helmholtz Munich has yielded novel insights into the mechanisms underlying type 1 and type 2 diabetes. This collaboration has resulted in the creation of the first mouse…

Elizabeth Gribkoff, Broad Institute of MIT and Harvard

Awards & Grants, Computational Health, August 31, 2023

Helmholtz Munich and the Eric and Wendy Schmidt Center at the Broad Institute launch Collaborative Research Initiative

Helmholtz Munich and the Eric and Wendy Schmidt Center at the Broad Institute of MIT and Harvard announced the launch of a…

Awards & Grants, Computational Health, July 19, 2023

Dr. Michael Zech received the David Marsden Award 2023 from Dystonia Europe at the 9th EAN Congress in Budapest, Hungary. The award recognizes his groundbreaking research on the genetics of movement disorders, particularly dystonia.

Computational Health, ICB, July 05, 2023

Prof. Fabian Theis, the AI expert, Director of the Computational Health Center at Helmholtz Munich, and Coordinator of Helmholtz AI takes on another important role for AI-based medical research: As Director for Biomedical AI, he complements the…

Awards & Grants, Computational Health, ICB, June 27, 2023

The International Society for Computational Biology (ISCB) annually recognizes exceptional individuals in the fields of computational biology and bioinformatics through its prestigious Fellows program. This year, Prof. Fabian Theis, Head of the…

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06.05.2024

Yuki Asano (University of Amsterdam)

Host: Zeynep Akata
Title: Self-Supervised Learning in the age of Foundation Models
Time: 11.00 - 12.00 (CEST)
Location: Room 160a/b (Building 56) and Zoom

13.05.2024

Grigorios G. Chrysos ( University of Wisconsin-Madison)

Host: Zeynep Akata
Title: Tbd
Time: 11:00-12:00 (CEST)
Location: Room 163 (Building 56) and Zoom

16.05.2024

Yogesh Goyal (Northwestern University)

Host: Carsten Marr
Title: Chance, necessity, or free will: decision making in single cells
Time: 16:00-17:00 (CEST)
Location: Tbd

11.07.2024

Eva Lerner

Host: Marie Piraud
Title: Tbd
Time: 16:00 (CEST)
Location: Zoom

Publications

Technical University of Munich

Munich Center for Machine Learning

Computational Health Center

Our Research Areas

Digital Genomics and Image Computing

Health AI

Systems Biomedicine

Discover Our Highlights

How AI is Revolutionizing Medicine

Helmholtz invests 23 million in research on AI foundation models